With AI, technology abstraction and citizen development at enterprise level, digital transformation will never be the same. Particularly deciding wher
Ron Immink
I empower people by crafting compelling visions for the future, driving the creation of innovative business models, boosting productivity, and enhancing profitability. Advisor, mentor, author and speaker.
With AI, technology abstraction and citizen development at enterprise level, digital transformation will never be the same. Particularly deciding where you will apply AI in your business model is an almost immediate consideration.
AgilePoint
Hence, a separate mind candy focussed on digital transformation with the compliments of AgilePoint . AgilePoint has been innovating in this space for 20 years. They have approached digital transformation from a fundamentally different perspective, with a focus on meta-abstraction, complexity reduction, and codeless future-ready architecture. This allows large enterprises to apply AI and digital twinning and achieve maximum adaptability (with no technical debt).
Topics 8 April 2024
The topics are intelligent automation vs robotic process automation, asset operations management, innovation, customised LLM, integrating sensors with edge AI, $ 2.3 trillion lost globally in failed digital transformation, spatial computing, data centres, Qatar and GenAI.
This year, will we see the development of new perspectives on AI, will no code zero code dominate, or can intelligent automation, combining RPA (Robotic Process Automation), AI, and Process Orchestration, reveal the genuine value of digital workforces?
One thing that has become abundantly clear to me over the last several years is the incredible synergy that occurs when digital transformation meets asset operations management (AOM).
On the quest for innovation, Generative AI’s most obvious contribution is in idea generation. Yet it can play an even more important role in helping organizations question their strategic assumptions.
https://venturebeat.com/ai/openai-releases-new-ai-fine-tuning-tools-vast-majority-of-organizations-will-develop-customized-models/ ?
This expansion is particularly geared towards organizations with specialized needs that standard AI models cannot meet.
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Edge AI involves processing data closer to its source, reducing latency, and enhancing real-time decision-making. Combining this approach with sensors creates a powerful synergy, allowing devices to perceive, understand, and act autonomously.
Firms seeking to harness new digital technologies, such as artificial intelligence, must approach this organizational change in an entirely new way to avoid contributing to the $2.3 trillion wasted on unsuccessful projects globally so far
Since Apple’s announcement of the Vision Pro headset, many companies have begun to circle their wagons for spatial computing so they can address the market in one way or another. While the alliances are still being established, we are already starting to see some concrete partnerships being put in place to claim certain territory.
Let’s not just move the electrons closer within the chip; let’s move them closer within the rack.
The report stated that the government is gunning for a “smarter Qatar” by digitalising the following sectors: Tourism, economy, energy and environment, health, transport, and education.
These data leaders agree that GenAI is a massively impactful technology, one that will change every aspect of life as the internet did. The advantage will go to those who are not limited by the constraints of how we use technology and data to affect how we work, learn, and collaborate today.